Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "168"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 168 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 36 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 168, Node N15:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459851 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 260.810769 259.845248 inf inf 13787.732752 13787.704735 14631.146631 14634.690907 nan nan nan 0.000000 0.000000
2459850 RF_maintenance 0.00% 0.00% 0.00% 0.58% 100.00% 0.00% 1.478382 2.094663 0.205210 -0.225372 0.501435 0.268022 -0.094797 0.041398 0.7489 0.7657 0.3539 3.375103 2.817905
2459849 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.767493 2.060712 0.004101 1.662762 0.563941 0.305327 0.643569 -0.146320 0.7455 0.7569 0.3632 4.063072 3.529827
2459848 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.061295 2.517948 1.328715 6.952587 1.482289 0.324796 0.477724 -0.304011 0.7319 0.7639 0.3831 3.754155 3.178166
2459847 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.989204 2.459872 0.923457 6.296933 2.234416 1.224019 0.365926 -0.197596 0.7317 0.6987 0.4399 4.017534 3.351575
2459846 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.057513 3.908429 0.603710 5.968341 0.086005 2.043610 0.074741 -0.484297 0.8285 0.6796 0.5018 4.163545 4.223727
2459845 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.607374 2.827016 2.751217 10.375021 1.977122 0.624467 1.248808 0.844170 0.7511 0.7533 0.3716 4.823689 6.253309
2459844 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 45.701652 49.382215 103.187101 125.968376 252.626488 202.087433 44.501072 36.570746 0.8874 0.6019 0.6051 nan nan
2459843 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.472590 9.007274 16.823468 18.652212 67.036191 74.103397 -2.567654 -3.361314 0.7544 0.7388 0.4075 0.000000 0.000000
2459842 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.852904 1.045848 -0.742385 -0.597055 -2.504504 -2.129935 -1.522165 -2.067050 0.7641 0.6821 0.2598 4.856349 4.844026
2459841 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 38.718396 44.220845 109.295873 118.023838 106.302352 105.282291 2.402701 -4.433057 0.7559 0.7416 0.3540 nan nan
2459839 RF_maintenance 100.00% - - - - - -0.439020 0.008366 0.279409 -0.688925 -0.050008 3.114784 3.223205 12.567113 nan nan nan nan nan
2459838 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.222949 7.143744 19.690026 22.380823 9.674977 21.480739 -2.318338 -3.035425 0.7366 0.6970 0.4263 0.000000 0.000000
2459836 RF_maintenance - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.7301 0.6799 0.3796 nan nan
2459835 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.910369 5.258035 11.838137 12.292004 13.469460 6.925469 -6.740012 -5.916684 0.8056 0.6318 0.4672 nan nan
2459833 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 15.651554 16.148823 50.862067 54.795414 113.549025 56.822807 -1.014109 -8.554260 0.8149 0.5863 0.4921 nan nan
2459832 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.738787 16.646965 16.074557 18.136689 9.220975 9.140040 -1.430201 -0.098289 0.8010 0.5052 0.5920 4.356529 3.281162
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.471227 -0.080490 0.176660 -0.641483 0.023558 4.005368 2.277722 7.919948 0.0287 0.0280 0.0011 nan nan
2459830 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.058482 17.407883 21.438298 24.027142 25.729120 28.413639 -3.929405 -5.089067 0.7947 0.5055 0.5776 5.141762 3.961986
2459829 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459828 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 12.181383 15.469786 16.510869 18.387335 25.872175 27.232688 -3.322787 -3.748390 0.7883 0.5192 0.5422 7.708441 4.235763
2459827 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.962697 11.517303 26.899563 30.472390 15.925495 20.637384 -1.626222 -2.740895 0.7575 0.6629 0.4288 8.727166 6.042214
2459826 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.884040 15.039681 22.043883 24.834871 33.729190 36.512764 -1.650510 2.292262 0.7856 0.5496 0.5198 0.000000 0.000000
2459825 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 12.603297 15.828272 16.753776 19.001941 22.826023 24.468412 4.272567 3.955369 0.7806 0.5367 0.5314 0.000000 0.000000
2459824 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.071890 7.978173 22.939239 26.854522 8.355245 16.257871 5.144247 3.912728 0.7044 0.7218 0.3936 0.000000 0.000000
2459823 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 15.723854 18.471720 18.655558 20.926496 23.903072 28.592853 11.841304 15.887068 0.7403 0.6110 0.4978 0.000000 0.000000
2459822 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.478196 17.231591 20.664758 23.083194 22.237704 24.312224 -0.611948 0.118157 0.7775 0.5607 0.5170 0.000000 0.000000
2459821 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.201359 19.645146 20.278630 23.023657 20.023150 22.656788 -0.632201 -0.065367 0.7592 0.5530 0.5203 4.524731 3.762367
2459820 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.919631 13.268330 24.494212 27.606641 45.547016 55.960817 -2.906605 -5.028992 0.7597 0.6559 0.4383 0.000000 0.000000
2459817 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.138848 19.022522 16.902310 19.075533 26.446828 30.253538 2.083878 4.202386 0.7641 0.5900 0.5146 0.968686 0.957411
2459816 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.858552 13.953891 24.269030 27.400955 34.007943 38.111135 -4.567298 -5.290690 0.8296 0.5577 0.6073 4.635153 3.352919
2459815 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 168: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance ee Power inf 260.810769 259.845248 inf inf 13787.732752 13787.704735 14631.146631 14634.690907

Antenna 168: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape 2.094663 1.478382 2.094663 0.205210 -0.225372 0.501435 0.268022 -0.094797 0.041398

Antenna 168: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape 2.060712 1.767493 2.060712 0.004101 1.662762 0.563941 0.305327 0.643569 -0.146320

Antenna 168: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 6.952587 2.517948 2.061295 6.952587 1.328715 0.324796 1.482289 -0.304011 0.477724

Antenna 168: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 6.296933 2.459872 1.989204 6.296933 0.923457 1.224019 2.234416 -0.197596 0.365926

Antenna 168: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 5.968341 2.057513 3.908429 0.603710 5.968341 0.086005 2.043610 0.074741 -0.484297

Antenna 168: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 10.375021 2.827016 2.607374 10.375021 2.751217 0.624467 1.977122 0.844170 1.248808

Antenna 168: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance ee Temporal Variability 252.626488 45.701652 49.382215 103.187101 125.968376 252.626488 202.087433 44.501072 36.570746

Antenna 168: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 74.103397 9.007274 7.472590 18.652212 16.823468 74.103397 67.036191 -3.361314 -2.567654

Antenna 168: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape 1.045848 0.852904 1.045848 -0.742385 -0.597055 -2.504504 -2.129935 -1.522165 -2.067050

Antenna 168: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 118.023838 38.718396 44.220845 109.295873 118.023838 106.302352 105.282291 2.402701 -4.433057

Antenna 168: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Discontinuties 12.567113 0.008366 -0.439020 -0.688925 0.279409 3.114784 -0.050008 12.567113 3.223205

Antenna 168: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 22.380823 7.143744 5.222949 22.380823 19.690026 21.480739 9.674977 -3.035425 -2.318338

Antenna 168: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance ee Temporal Variability 13.469460 5.258035 4.910369 12.292004 11.838137 6.925469 13.469460 -5.916684 -6.740012

Antenna 168: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance ee Temporal Variability 113.549025 16.148823 15.651554 54.795414 50.862067 56.822807 113.549025 -8.554260 -1.014109

Antenna 168: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 18.136689 11.738787 16.646965 16.074557 18.136689 9.220975 9.140040 -1.430201 -0.098289

Antenna 168: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Discontinuties 7.919948 -0.471227 -0.080490 0.176660 -0.641483 0.023558 4.005368 2.277722 7.919948

Antenna 168: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 28.413639 13.058482 17.407883 21.438298 24.027142 25.729120 28.413639 -3.929405 -5.089067

Antenna 168: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 168: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 27.232688 15.469786 12.181383 18.387335 16.510869 27.232688 25.872175 -3.748390 -3.322787

Antenna 168: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 30.472390 8.962697 11.517303 26.899563 30.472390 15.925495 20.637384 -1.626222 -2.740895

Antenna 168: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 36.512764 15.039681 11.884040 24.834871 22.043883 36.512764 33.729190 2.292262 -1.650510

Antenna 168: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 24.468412 15.828272 12.603297 19.001941 16.753776 24.468412 22.826023 3.955369 4.272567

Antenna 168: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 26.854522 6.071890 7.978173 22.939239 26.854522 8.355245 16.257871 5.144247 3.912728

Antenna 168: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 28.592853 18.471720 15.723854 20.926496 18.655558 28.592853 23.903072 15.887068 11.841304

Antenna 168: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 24.312224 14.478196 17.231591 20.664758 23.083194 22.237704 24.312224 -0.611948 0.118157

Antenna 168: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Power 23.023657 19.645146 16.201359 23.023657 20.278630 22.656788 20.023150 -0.065367 -0.632201

Antenna 168: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 55.960817 10.919631 13.268330 24.494212 27.606641 45.547016 55.960817 -2.906605 -5.028992

Antenna 168: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 30.253538 16.138848 19.022522 16.902310 19.075533 26.446828 30.253538 2.083878 4.202386

Antenna 168: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Temporal Variability 38.111135 13.953891 10.858552 27.400955 24.269030 38.111135 34.007943 -5.290690 -4.567298

Antenna 168: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 168: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 168: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
168 N15 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan
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